15 citations · 17 across the 4 of their papers we have counts for
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Yuki Nagai, Bo Thomsen, Motoyuki Shiga
Cross-functional fine-tuning of machine-learning interatomic potentials (MLIPs) is often treated as a relabeling problem, where configurations generated at one density-functional l…